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IrinaK [193]
3 years ago
13

50 points AND brainliest hurry!!

Mathematics
2 answers:
nikitadnepr [17]3 years ago
7 0

On the left side their is 3 green boxes with "x" inside of them. We can add them together (x + x + x = 3x). Their is also 2 red boxes with "-1" in them. We can combine them (-1 + -1 = -2).

On the right side their is 2 green boxes with "x' inside of them. We can add them together (x + x = 2x). Their is also 4 yellow boxes with "1" inside of them. We can combine them together (1 + 1 + 1 + 1 = 4).

Now, we have 3x + (-2) and 2x + 4.

We can combine them to be 3x + (-2) = 2x + 4 (Option D is the correct answer)

______

Best Regards,

Wolfyy :)

maksim [4K]3 years ago
6 0

Answer:

3x +(-2) = 2x + 4

Step-by-step explanation:

green sticks represents positive 3x and red boxes represents negative 2 since it's a equation modeled on adding it is shown as 3x+(-2) = 2x+4

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One year Ron had the lowest ERA (earned-run average, mean number of runs yielded per nine innings pitched)
Arada [10]

Answer:

Ron's ERA has a z-score of -2.03.

Karla's ERA has a z-score of -1.86.

Due to the lower z-score, Ron had a better yean than Karla relative to their peers.

Step-by-step explanation:

Z-score:

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question:

Since the lower the ERA, the better the pitcher, whoever's ERA has the lower z-score had the better year relative to their peers.

Ron

ERA of 3.06, so X = 3.06

For the males, the mean ERA was 5.086 and the standard deviation was 0.998. This means that \mu = 5.086, \sigma = 0.998

So

Z = \frac{X - \mu}{\sigma}

Z = \frac{3.06 - 5.086}{0.998}

Z = -2.03

Ron's ERA has a z-score of -2.03.

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ERA of 3.28, so X = 3.28

For  the females, the mean ERA was 4.316 and the standard deviation was 0.558. This means that \mu = 4.316, \sigma = 0.558

So

Z = \frac{X - \mu}{\sigma}

Z = \frac{3.28 - 4.316}{0.558}

Z = -1.86

Karla's ERA has a z-score of -1.86.

Which player had the better year relative to their peers, Ron or Karla?

Due to the lower z-score, Ron had a better yean than Karla relative to their peers.

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